AIMC Topic: Action Potentials

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Recognizing intertwined patterns using a network of spiking pattern recognition platforms.

Scientific reports Nov 14, 2022
Artificial intelligence computing adapted from biology is a suitable platform for the development of intelligent machines by imitating the functional mechanisms of the nervous system in creating high-level activities such as learning, decision making...
Neural Networks, Computer Action Potentials Pattern Recognition, Automated Algorithms Artificial Intelligence
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Computational modeling of color perception with biologically plausible spiking neural networks.

PLoS computational biology Oct 27, 2022
Biologically plausible computational modeling of visual perception has the potential to link high-level visual experiences to their underlying neurons' spiking dynamic. In this work, we propose a neuromorphic (brain-inspired) Spiking Neural Network (...
Computer Simulation Action Potentials Neural Networks, Computer Color Perception Neurons
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Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers.

International journal of neural systems Oct 17, 2022
Spiking neural P systems (SN P systems), inspired by biological neurons, are introduced as symbolical neural-like computing models that encode information with multisets of symbolized spikes in neurons and process information by using spike-based rew...
Neural Networks, Computer Action Potentials Synapses Neurons Fuzzy Logic Models, Neurological Algorithms
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Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.

IEEE transactions on neural networks and learning systems Oct 5, 2022
Energy consumption is an important issue for resource-constrained wireless neural recording applications with limited data bandwidth. Compressed sensing (CS) is a promising framework for addressing this challenge because it can compress data in an en...
Action Potentials Neural Networks, Computer
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Spiking Neural P Systems With Enzymes.

IEEE transactions on nanobioscience Sep 26, 2022
The neurotransmitter is a chemical substance that transmits information between neurons. Its metabolic process includes four links: synthesis, storage, release and inactivation. As one of the important chemical components of neurotransmitters, acetyl...
Neurotransmitter Agents Choline O-Acetyltransferase Coenzyme A Action Potentials Acetylcholine Models, Neurological Neural Networks, Computer
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Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI.

Sensors (Basel, Switzerland) Sep 24, 2022
Neuromorphic hardware, the new generation of non-von Neumann computing system, implements spiking neurons and synapses to spiking neural network (SNN)-based applications. The energy-efficient property makes the neuromorphic hardware suitable for powe...
Neurons Action Potentials Synapses Neural Networks, Computer Computers
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Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Aug 3, 2022
The performance of a biologically plausible spiking neural network (SNN) largely depends on the model parameters and neural dynamics. This article proposes a parameter optimization scheme for improving the performance of a biologically plausible SNN ...
Computer Simulation Action Potentials Learning Neural Networks, Computer Neurons
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A framework for macroscopic phase-resetting curves for generalised spiking neural networks.

PLoS computational biology Aug 1, 2022
Brain rhythms emerge from synchronization among interconnected spiking neurons. Key properties of such rhythms can be gleaned from the phase-resetting curve (PRC). Inferring the PRC and developing a systematic phase reduction theory for large-scale b...
Neurons Action Potentials Brain Neural Networks, Computer Models, Neurological
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On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request.

International journal of neural systems Jul 16, 2022
Spiking neural P systems (abbreviated as SNP systems) are models of computation that mimic the behavior of biological neurons. The spiking neural P systems with communication on request (abbreviated as SNQP systems) are a recently developed class of ...
Neurons Models, Neurological Neural Networks, Computer Action Potentials
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Exact mean-field models for spiking neural networks with adaptation.

Journal of computational neuroscience Jul 14, 2022
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mo...
Models, Neurological Neurons Neural Networks, Computer Action Potentials Adaptation, Physiological
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